Papers with annotation procedure

9 papers
Decontextualization: Making Sentences Stand-Alone (2021.tacl-1)

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Challenge: Taking excerpts of text can be problematic, as key pieces may not be explicit in a local window.
Approach: They define a problem of sentence decontextualization by rewriting a sentence to be interpretable out of context while preserving its meaning.
Outcome: The proposed method can be used in question answering and document understanding tasks.
NorDiaChange: Diachronic Semantic Change Dataset for Norwegian (2022.lrec-1)

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Challenge: NorDiaChange is the first dataset of diachronic semantic change on the lexical level for Norwegian.
Approach: They describe a manual annotation process for a new dataset of diachronic semantic change for Norwegian.
Outcome: The proposed dataset covers the time periods related to pre- and post-war events, oil and gas discovery in Norway, and technological developments.
Multilingual Extension of PDTB-Style Annotation: The Case of TED Multilingual Discourse Bank (L18-1)

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Challenge: Existing corpora enriched with discourse annotations are scarce but exist . TED-MDB is hoped to be a source of parallel data for contrastive linguistic analysis and language technology applications.
Approach: They propose a multilingual discourse treebank to provide a clear description of discourse structure and semantics in multiple languages.
Outcome: The proposed corpus provides a clearly described level of discourse structure and semantics in multiple languages.
Designing a Russian Idiom-Annotated Corpus (L18-1)

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Challenge: a pilot experiment using the idiom-annotated corpus of Russian is described . corpora that could be used for training idiomatic classifiers are scarce, especially if one turns to other languages.
Approach: They describe the development of an idiom-annotated corpus of Russian . the corpus is compiled from freely available online resources .
Outcome: The proposed corpus is based on an online corpus of Russian texts . it is available for research purposes and can be used for linguistic studies and pedagogy .
Annotation of metaphorical expressions in the Basic Corpus of Polish Metaphors (2022.lrec-1)

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Challenge: a corpus of Polish texts annotated with metaphorical expressions is composed of two parts of comparable size, selected from two subcorpora of the Polish National Corpus .
Approach: They propose to use a procedure to annotate metaphorical expressions in Polish texts using two different subcorpora of the Polish National Corpus . they propose several features to classify metaphorical Expressions identified in texts.
Outcome: The proposed procedure is based on the MIPVU procedure and focuses on neologistic derivatives that have metaphorical properties.
ODIL_Syntax: a Free Spontaneous Spoken French Treebank Annotated with Constituent Trees (2020.lrec-1)

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Challenge: ODIL Syntax is a French treebank built on spontaneous speech transcripts . the structure of every speech turn is represented by constituent trees .
Approach: They propose a French treebank built on spontaneous speech transcripts with a constituency tree representation.
Outcome: The proposed treebank is based on the French TreeBank, with some annotation guidelines . the proposed tree bank will be freely distributed by January 2020 under a Creative Commons licence .
Budget Argument Mining Dataset Using Japanese Minutes from the National Diet and Local Assemblies (2022.lrec-1)

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Challenge: Budget argument mining attempts to identify argumentative components related to a budget item . argument mining is a subtask of QA Lab-PoliInfo-3 in NTCIR-16 .
Approach: They propose a dataset to link budget information to minutes and budget items . they describe the construction of the dataset and the annotation procedure .
Outcome: The proposed dataset is based on a QA Lab-PoliInfo-3 subtask . it identifies argumentative components related to a budget item and classifies them .
M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains (L18-1)

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Challenge: NER is one of the most important natural language processing tasks.
Approach: They propose to annotate sentences from human-computer interaction, social media, and e-commerce using two rounds of annotation.
Outcome: The proposed system performs the best on all the data sets.
Decomposing Unitization and Typing for Efficient and Consistent Span-Bound Concept Annotation (2026.findings-acl)

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Challenge: Substantial resources are typically spent on unitizing, the task of identifying precise span boundaries for entity mentions.
Approach: They propose a method that focuses manual efforts on typed position annotations instead of full concept annotation.
Outcome: The proposed procedure reduces the cost of concept annotations by focusing on typed positions instead of full concept annotation.

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