Suresh Manandhar


2021

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NEREL: A Russian Dataset with Nested Named Entities, Relations and Events
Natalia Loukachevitch | Ekaterina Artemova | Tatiana Batura | Pavel Braslavski | Ilia Denisov | Vladimir Ivanov | Suresh Manandhar | Alexander Pugachev | Elena Tutubalina
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)

In this paper, we present NEREL, a Russian dataset for named entity recognition and relation extraction. NEREL is significantly larger than existing Russian datasets: to date it contains 56K annotated named entities and 39K annotated relations. Its important difference from previous datasets is annotation of nested named entities, as well as relations within nested entities and at the discourse level. NEREL can facilitate development of novel models that can extract relations between nested named entities, as well as relations on both sentence and document levels. NEREL also contains the annotation of events involving named entities and their roles in the events. The NEREL collection is available via https://github.com/nerel-ds/NEREL.

2018

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Tree Structured Dirichlet Processes for Hierarchical Morphological Segmentation
Burcu Can | Suresh Manandhar
Computational Linguistics, Volume 44, Issue 2 - June 2018

This article presents a probabilistic hierarchical clustering model for morphological segmentation. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word morphology as a collection of tree structured paradigms. The model is fully unsupervised and based on the hierarchical Dirichlet process. Tree hierarchies are learned along with the corresponding morphological paradigms simultaneously. Our model is evaluated on Morpho Challenge and shows competitive performance when compared to state-of-the-art unsupervised morphological segmentation systems. Although we apply this model for morphological segmentation, the model itself can also be used for hierarchical clustering of other types of data.

2017

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Feature-Rich Networks for Knowledge Base Completion
Alexandros Komninos | Suresh Manandhar
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

We propose jointly modelling Knowledge Bases and aligned text with Feature-Rich Networks. Our models perform Knowledge Base Completion by learning to represent and compose diverse feature types from partially aligned and noisy resources. We perform experiments on Freebase utilizing additional entity type information and syntactic textual relations. Our evaluation suggests that the proposed models can better incorporate side information than previously proposed combinations of bilinear models with convolutional neural networks, showing large improvements when scoring the plausibility of unobserved facts with associated textual mentions.

2016

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Structured Generative Models of Continuous Features for Word Sense Induction
Alexandros Komninos | Suresh Manandhar
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

We propose a structured generative latent variable model that integrates information from multiple contextual representations for Word Sense Induction. Our approach jointly models global lexical, local lexical and dependency syntactic context. Each context type is associated with a latent variable and the three types of variables share a hierarchical structure. We use skip-gram based word and dependency context embeddings to construct all three types of representations, reducing the total number of parameters to be estimated and enabling better generalization. We describe an EM algorithm to efficiently estimate model parameters and use the Integrated Complete Likelihood criterion to automatically estimate the number of senses. Our model achieves state-of-the-art results on the SemEval-2010 and SemEval-2013 Word Sense Induction datasets.

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Dependency Based Embeddings for Sentence Classification Tasks
Alexandros Komninos | Suresh Manandhar
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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SemEval-2016 Task 5: Aspect Based Sentiment Analysis
Maria Pontiki | Dimitris Galanis | Haris Papageorgiou | Ion Androutsopoulos | Suresh Manandhar | Mohammad AL-Smadi | Mahmoud Al-Ayyoub | Yanyan Zhao | Bing Qin | Orphée De Clercq | Véronique Hoste | Marianna Apidianaki | Xavier Tannier | Natalia Loukachevitch | Evgeniy Kotelnikov | Nuria Bel | Salud María Jiménez-Zafra | Gülşen Eryiğit
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

2015

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SemEval-2015 Task 14: Analysis of Clinical Text
Noémie Elhadad | Sameer Pradhan | Sharon Gorman | Suresh Manandhar | Wendy Chapman | Guergana Savova
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

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SemEval-2015 Task 12: Aspect Based Sentiment Analysis
Maria Pontiki | Dimitris Galanis | Haris Papageorgiou | Suresh Manandhar | Ion Androutsopoulos
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

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User Name Disambiguation in Community Question Answering
Baoguo Yang | Suresh Manandhar
Proceedings of the International Conference Recent Advances in Natural Language Processing

2014

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SemEval-2014 Task 4: Aspect Based Sentiment Analysis
Maria Pontiki | Dimitris Galanis | John Pavlopoulos | Harris Papageorgiou | Ion Androutsopoulos | Suresh Manandhar
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

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SemEval-2014 Task 7: Analysis of Clinical Text
Sameer Pradhan | Noémie Elhadad | Wendy Chapman | Suresh Manandhar | Guergana Savova
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

2013

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An Agglomerative Hierarchical Clustering Algorithm for Labelling Morphs
Burcu Can | Suresh Manandhar
Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013

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Dirichlet Processes for Joint Learning of Morphology and PoS Tags
Burcu Can | Suresh Manandhar
Proceedings of the Sixth International Joint Conference on Natural Language Processing

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Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Suresh Manandhar | Deniz Yuret
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

2012

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*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)
Eneko Agirre | Johan Bos | Mona Diab | Suresh Manandhar | Yuval Marton | Deniz Yuret
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

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Probabilistic Hierarchical Clustering of Morphological Paradigms
Burcu Can | Suresh Manandhar
Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics

2011

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An Empirical Study on Compositionality in Compound Nouns
Siva Reddy | Diana McCarthy | Suresh Manandhar
Proceedings of 5th International Joint Conference on Natural Language Processing

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Dynamic and Static Prototype Vectors for Semantic Composition
Siva Reddy | Ioannis Klapaftis | Diana McCarthy | Suresh Manandhar
Proceedings of 5th International Joint Conference on Natural Language Processing

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Exemplar-Based Word-Space Model for Compositionality Detection: Shared Task System Description
Siva Reddy | Diana McCarthy | Suresh Manandhar | Spandana Gella
Proceedings of the Workshop on Distributional Semantics and Compositionality

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Improving Question Recommendation by Exploiting Information Need
Shuguang Li | Suresh Manandhar
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

2010

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Word Sense Induction & Disambiguation Using Hierarchical Random Graphs
Ioannis Klapaftis | Suresh Manandhar
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing

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Estimating Linear Models for Compositional Distributional Semantics
Fabio Massimo Zanzotto | Ioannis Korkontzelos | Francesca Fallucchi | Suresh Manandhar
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)

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Bilingual lexicon extraction from comparable corpora using in-domain terms
Azniah Ismail | Suresh Manandhar
Coling 2010: Posters

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SemEval-2010 Task 14: Word Sense Induction &Disambiguation
Suresh Manandhar | Ioannis Klapaftis | Dmitriy Dligach | Sameer Pradhan
Proceedings of the 5th International Workshop on Semantic Evaluation

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UoY: Graphs of Unambiguous Vertices for Word Sense Induction and Disambiguation
Ioannis Korkontzelos | Suresh Manandhar
Proceedings of the 5th International Workshop on Semantic Evaluation

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Taxonomy Learning Using Word Sense Induction
Ioannis P. Klapaftis | Suresh Manandhar
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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Can Recognising Multiword Expressions Improve Shallow Parsing?
Ioannis Korkontzelos | Suresh Manandhar
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

2009

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Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics
Suresh Manandhar | Ioannis P. Klapaftis
Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics

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Utilizing Contextually Relevant Terms in Bilingual Lexicon Extraction
Azniah Ismail | Suresh Manandhar
Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics

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Graph Connectivity Measures for Unsupervised Parameter Tuning of Graph-Based Sense Induction Systems.
Ioannis Korkontzelos | Ioannis Klapaftis | Suresh Manandhar
Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics

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SemEval-2010 Task 14: Evaluation Setting for Word Sense Induction & Disambiguation Systems
Suresh Manandhar | Ioannis Klapaftis
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009)

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Detecting Compositionality in Multi-Word Expressions.
Ioannis Korkontzelos | Suresh Manandhar
Proceedings of the ACL-IJCNLP 2009 Conference Short Papers

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Automatic Generation of Information-seeking Questions Using Concept Clusters
Shuguang Li | Suresh Manandhar
Proceedings of the ACL-IJCNLP 2009 Conference Short Papers

2008

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Argumentative Human Computer Dialogue for Automated Persuasion
Pierre Andrews | Suresh Manandhar | Marco De Boni
Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue

2007

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Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification
Alessandro Moschitti | Silvia Quarteroni | Roberto Basili | Suresh Manandhar
Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics

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UOY: A Hypergraph Model For Word Sense Induction & Disambiguation
Ioannis Klapaftis | Suresh Manandhar
Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007)

2006

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Incorporating User Models in Question Answering to ImproveReadability
Silvia Quarteroni | Suresh Manandhar
Proceedings of the Workshop KRAQ’06: Knowledge and Reasoning for Language Processing

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Adaptivity in Question Answering with User Modelling and a Dialogue Interface
Silvia Quarteroni | Suresh Manandhar
Demonstrations

2003

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An Analysis of Clarification Dialogue for Question Answering
Marco De Boni | Suresh Manandhar
Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics

2002

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Improving an Ontology Refinement Method with Hyponymy Patterns
Enrique Alfonseca | Suresh Manandhar
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

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Proposal for Evaluating Ontology Refinement Methods
Enrique Alfonseca | Suresh Manandhar
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

2001

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A psychologically plausible and computationally effective approach to learning syntax
Stephen Watkinson | Suresh Manandhar
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL)

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Translating Treebank Annotation for Evaluation
Stephen Watkinson | Suresh Manandhar
Proceedings of the ACL 2001 Workshop on Evaluation Methodologies for Language and Dialogue Systems

2000

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Precompilation of HPSG in ALE into a CFG for Fast Parsing
John C. Brown | Suresh Manandhar
Proceedings of the COLING-2000 Workshop on Efficiency In Large-Scale Parsing Systems

1999

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Unsupervised Lexical Learning with Categorial Grammars
Stephen Watkinson | Suresh Manandhar
Unsupervised Learning in Natural Language Processing

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Two Accounts of Scope Availability and Semantic Underspecification
Alistair Willis | Suresh Manandhar
Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics

1995

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Deterministic Consistency Checking of LP Constraints
Suresh Manandhar
Seventh Conference of the European Chapter of the Association for Computational Linguistics

1994

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Priority Union and Generalization in Discourse Grammars
Claire Grover | Chris Brew | Suresh Manandhar | Marc Moens
32nd Annual Meeting of the Association for Computational Linguistics

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An Attributive Logic of Set Descriptions and Set Operations
Suresh Manandhar
32nd Annual Meeting of the Association for Computational Linguistics