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    <titleInfo>
        <title>iobes: Library for Span Level Processing</title>
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    <name type="personal">
        <namePart type="given">Brian</namePart>
        <namePart type="family">Lester</namePart>
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            <roleTerm authority="marcrelator" type="text">author</roleTerm>
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            <title>Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)</title>
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        <name type="personal">
            <namePart type="given">Eunjeong</namePart>
            <namePart type="given">L</namePart>
            <namePart type="family">Park</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Masato</namePart>
            <namePart type="family">Hagiwara</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Dmitrijs</namePart>
            <namePart type="family">Milajevs</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        </name>
        <name type="personal">
            <namePart type="given">Nelson</namePart>
            <namePart type="given">F</namePart>
            <namePart type="family">Liu</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        </name>
        <name type="personal">
            <namePart type="given">Geeticka</namePart>
            <namePart type="family">Chauhan</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
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        <name type="personal">
            <namePart type="given">Liling</namePart>
            <namePart type="family">Tan</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
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    <abstract>Many tasks in natural language processing, such as named entity recognition and slot-filling, involve identifying and labeling specific spans of text. In order to leverage common models, these tasks are often recast as sequence labeling tasks. Each token is given a label and these labels are prefixed with special tokens such as B- or I-. After a model assigns labels to each token, these prefixes are used to group the tokens into spans. Properly parsing these annotations is critical for producing fair and comparable metrics; however, despite its importance, there is not an easy-to-use, standardized, programmatically integratable library to help work with span labeling. To remedy this, we introduce our open-source library, iobes. iobes is used for parsing, converting, and processing spans represented as token level decisions.</abstract>
    <identifier type="citekey">lester-2020-iobes</identifier>
    <identifier type="doi">10.18653/v1/2020.nlposs-1.16</identifier>
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        <url>https://aclanthology.org/2020.nlposs-1.16</url>
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    <part>
        <date>2020-11</date>
        <extent unit="page">
            <start>115</start>
            <end>119</end>
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%0 Conference Proceedings
%T iobes: Library for Span Level Processing
%A Lester, Brian
%Y Park, Eunjeong L.
%Y Hagiwara, Masato
%Y Milajevs, Dmitrijs
%Y Liu, Nelson F.
%Y Chauhan, Geeticka
%Y Tan, Liling
%S Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F lester-2020-iobes
%X Many tasks in natural language processing, such as named entity recognition and slot-filling, involve identifying and labeling specific spans of text. In order to leverage common models, these tasks are often recast as sequence labeling tasks. Each token is given a label and these labels are prefixed with special tokens such as B- or I-. After a model assigns labels to each token, these prefixes are used to group the tokens into spans. Properly parsing these annotations is critical for producing fair and comparable metrics; however, despite its importance, there is not an easy-to-use, standardized, programmatically integratable library to help work with span labeling. To remedy this, we introduce our open-source library, iobes. iobes is used for parsing, converting, and processing spans represented as token level decisions.
%R 10.18653/v1/2020.nlposs-1.16
%U https://aclanthology.org/2020.nlposs-1.16
%U https://doi.org/10.18653/v1/2020.nlposs-1.16
%P 115-119

Markdown (Informal)

[iobes: Library for Span Level Processing](https://aclanthology.org/2020.nlposs-1.16) (Lester, NLPOSS 2020)

• iobes: Library for Span Level Processing (Lester, NLPOSS 2020)

ACL

• Brian Lester. 2020. iobes: Library for Span Level Processing. In Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS), pages 115–119, Online. Association for Computational Linguistics.