Heshaam Faili


2021

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NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer
Hossein Basafa | Sajad Movahedi | Ali Ebrahimi | Azadeh Shakery | Heshaam Faili
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)

This paper presents a technical report of our submission to the 4th task of SemEval-2021, titled: Reading Comprehension of Abstract Meaning. In this task, we want to predict the correct answer based on a question given a context. Usually, contexts are very lengthy and require a large receptive field from the model. Thus, common contextualized language models like BERT miss fine representation and performance due to the limited capacity of the input tokens. To tackle this problem, we used the longformer model to better process the sequences. Furthermore, we utilized the method proposed in the longformer benchmark on wikihop dataset which improved the accuracy on our task data from (23.01% and 22.95%) achieved by the baselines for subtask 1 and 2, respectively, to (70.30% and 64.38%).

2016

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Improving Word Alignment of Rare Words with Word Embeddings
Masoud Jalili Sabet | Heshaam Faili | Gholamreza Haffari
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

We address the problem of inducing word alignment for language pairs by developing an unsupervised model with the capability of getting applied to other generative alignment models. We approach the task by: i)proposing a new alignment model based on the IBM alignment model 1 that uses vector representation of words, and ii)examining the use of similar source words to overcome the problem of rare source words and improving the alignments. We apply our method to English-French corpora and run the experiments with different sizes of sentence pairs. Our results show competitive performance against the baseline and in some cases improve the results up to 6.9% in terms of precision.

2015

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On the Importance of Ezafe Construction in Persian Parsing
Alireza Nourian | Mohammad Sadegh Rasooli | Mohsen Imany | Heshaam Faili
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

2014

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A Probabilistic Approach to Persian Ezafe Recognition
Habibollah Asghari | Jalal Maleki | Heshaam Faili
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers

2013

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Supervised Morphology Generation Using Parallel Corpus
Alireza Mahmoudi | Mohsen Arabsorkhi | Heshaam Faili
Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013

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Discourse-aware Statistical Machine Translation as a Context-sensitive Spell Checker
Behzad Mirzababaei | Heshaam Faili | Nava Ehsan
Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013

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Automatic Enhancement of LTAG Treebank
Farzaneh Zarei | Ali Basirat | Heshaam Faili | Maryam Sadat Mirian
Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013

2012

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Collocation Extraction using Parallel Corpus
Kavosh Asadi Atui | Heshaam Faili | Kaveh Assadi Atuie
Proceedings of COLING 2012: Posters

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Fast Unsupervised Dependency Parsing with Arc-Standard Transitions
Mohammad Sadegh Rasooli | Heshaam Faili
Proceedings of the Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP

2011

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Constructing Linguistically Motivated Structures from Statistical Grammars
Ali Basirat | Heshaam Faili
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

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Unsupervised Learning for Persian WordNet Construction
Mortaza Montazery | Heshaam Faili
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

2010

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Automatic Persian WordNet Construction
Mortaza Montazery | Heshaam Faili
Coling 2010: Posters

2009

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From Partial toward Full Parsing
Heshaam Faili
Proceedings of the International Conference RANLP-2009