BASHI: A Corpus of Wall Street Journal Articles Annotated with Bridging Links (L18-1)
Copied to clipboard
| Challenge: | Bridging resolution is an under-researched area of NLP where the lack of annotated training data makes the application of statistical models difficult. |
| Approach: | They propose to use a corpus resource for the anaphoric phenomenon of bridging to add briding anamorphs to other gold annotations created as part of the OntoNotes project. |
| Outcome: | The proposed corpus adds bridging anaphors and their antecedents to other gold annotations created as part of the OntoNotes project. |
Similar Papers
Bridging resolution: Task definition, corpus resources and rule-based experiments (C18-1)
Copied to clipboard
| Challenge: | Recent work on bridging resolution has been based on the corpus ISNotes, as this was the only corpus available with unrestricted bridling annotations. |
| Approach: | They propose a rule-based system to resolve bridging annotations in ISNotes corpus and apply it to new corpora. |
| Outcome: | The proposed system achieves state-of-the-art performance on ISNotes corpus, but low performance on in-domain corpora. |
Discourse Coherence Through the Lens of an Annotated Text Corpus: A Case Study (L18-1)
Copied to clipboard
| Challenge: | a corpus-based study of local coherence as established by anaphoric links in discourses is presented . the study uses Czech data present in the Prague Dependency Treebank 3.0 . |
| Approach: | They propose to look at local coherence as established by anaphoric links between elements in the thematic and rhematic parts of sentences. |
| Outcome: | The proposed method takes into account syntactic relations, contextual boundness and coreference and bridging relations. |
Bridging Resolution: A Survey of the State of the Art (2020.coling-main)
Copied to clipboard
| Challenge: | bridging resolution is an anaphora resolution task that is less studied than entity coreference resolution. |
| Approach: | This paper presents a survey of the current state of research on bridging resolution . it identifies and resolves bridling/associative anaphors, which are anamorphic references to non-identical associated antecedents. |
| Outcome: | The proposed task is more difficult than entity coreference resolution because of the lack of annotated corpora and lack of standardized evaluation protocols. |
Bridging Anaphora Resolution as Question Answering (2020.acl-main)
Copied to clipboard
| Challenge: | Existing studies on bridging anaphora resolution focus on question answering based on context . briding anaphorisms and their antecedents are linked via various lexico-semantic, frame or encyclopedic relations. |
| Approach: | They propose a question answering framework for bridging anaphora resolution . they propose briding anaphorisms and their antecedents are linked via various lexico-semantic, frame or encyclopedic relations. |
| Outcome: | The proposed method generates state-of-the-art results on two bridging corpora. |
Enhanced Word Representations for Bridging Anaphora Resolution (N18-2)
Copied to clipboard
| Challenge: | Existing word representations do not capture semantic similarity for bridging anaphora resolution. |
| Approach: | They propose to use word embeddings to capture semantic similarity by exploring syntactic structure of noun phrases. |
| Outcome: | The proposed model achieves 30% of accuracy for bridging anaphora resolution on ISNotes corpus. |
Towards a Gold Standard Corpus for Variable Detection and Linking in Social Science Publications (L18-1)
Copied to clipboard
| Challenge: | a new corpus for detecting and linking survey variables is being developed . the corpus is multilingual and includes manually curated word and phrase alignments . |
| Approach: | They propose to create a corpus for the evaluation of detecting and linking survey variables in social science publications. |
| Outcome: | The proposed corpus is the first gold standard for the variable detection and linking task. |
Enriching a Lexicon of Discourse Connectives with Corpus-based Data (L18-1)
Copied to clipboard
| Challenge: | Existing annotation efforts for multiple languages have focused on discourse connectives, but we have limited it to the class of connectives marking contrast and the additional relations such connectives might convey. |
| Approach: | They enrich a lexicon of italian COnnectives with real corpus data for connectives marking contrast relations in text. |
| Outcome: | The proposed resource is a valuable tool for linguistic analyses of discourse relations and the training of a classifier for NLP applications. |
ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain (2021.eacl-main)
Copied to clipboard
| Challenge: | Using a novel annotation scheme, we identify anaphoric references in chemical patents and determine the chemical relation between linked entities. |
| Approach: | They propose a neural approach to anaphora resolution based on coreference and bridging links in chemical patents. |
| Outcome: | The proposed framework can be used to identify anaphoric references in chemical patents and determine the chemical relation between linked entities. |
A Deterministic Algorithm for Bridging Anaphora Resolution (D18-1)
Copied to clipboard
| Challenge: | Existing methods for bridging anaphora resolution only consider NPs’ head nouns and thus do not capture the semantics of NP. |
| Approach: | They propose a deterministic approach to bridging anaphora resolution which represents the semantics of an NP based on its head noun and modifications. |
| Outcome: | The proposed approach achieves competitive results compared to the best system in Hou et al. (2013) which explores Markov Logic Networks to model the problem. |
Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features (2021.eacl-main)
Copied to clipboard
| Challenge: | a prerequisite for the computational study of literature is the availability of properly digitized texts with reliable meta-data and ground-truth annotation. |
| Approach: | They propose to annotate prosodic features in large poetry corpora for English and German and train corpus driven neural models that enable large scale analysis. |
| Outcome: | The proposed models outperform baseline and BERT-based approaches in English and german and show that they learn foot boundaries better when jointly predicting syllable stress, aesthetic emotions and verse measures benefit from each other. |