Results 91 to 100 of about 21,648 (265)
ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge
This paper describes Luminoso's participation in SemEval 2017 Task 2, "Multilingual and Cross-lingual Semantic Word Similarity", with a system based on ConceptNet. ConceptNet is an open, multilingual knowledge graph that focuses on general knowledge that
Lowry-Duda, Joanna, Speer, Robyn
core +1 more source
SemEval-2018 Task 10: Capturing Discriminative Attributes [PDF]
This paper describes the SemEval 2018 Task 10 on Capturing Discriminative Attributes. Participants were asked to identify whether an attribute could help discriminate between two concepts. For example, a successful system should determine that ‘urine’ is a discriminating feature in the word pair ‘kidney’, ‘bone’.
Alicia Krebs +2 more
openaire +3 more sources
The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of relations between pairs of words in a text. We present an evaluation task designed to provide a framework for comparing different approaches to classifying semantic relations between nominals in a sentence.
Girju, R. +5 more
openaire +2 more sources
SemEval-2020 Task 5: Counterfactual Recognition [PDF]
We present a counterfactual recognition (CR) task, the shared Task 5 of SemEval-2020. Counterfactuals describe potential outcomes (consequents) produced by actions or circumstances that did not happen or cannot happen and are counter to the facts (antecedent).
Yang, Xiaoyu +5 more
openaire +2 more sources
SemEval-2023 Task 4: ValueEval: Identification of Human Values Behind Arguments
Argumentation is ubiquitous in natural language communication, from politics and media to everyday work and private life. Many arguments derive their persuasive power from human values, such as self-directed thought or tolerance, albeit often implicitly.
Johannes Kiesel +6 more
semanticscholar +1 more source
SemEval-2016 Task 3: Community Question Answering [PDF]
This paper describes the SemEval--2016 Task 3 on Community Question Answering, which we offered in English and Arabic. For English, we had three subtasks: Question--Comment Similarity (subtask A), Question--Question Similarity (B), and Question--External Comment Similarity (C).
Nakov, Preslav +7 more
openaire +3 more sources
SemEval-2022 Task 8: Multilingual news article similarity
Thousands of new news articles appear daily in outlets in different languages. Understanding which articles refer to the same story can not only improve applications like news aggregation but enable cross-linguistic analysis of media consumption and ...
Xi Chen +8 more
semanticscholar +1 more source
In this paper, we describe the SemEval-2010 shared task on "Linking Events and Their Participants in Discourse". This task is a variant of the classical semantic role labelling task. The novel aspect is that we focus on linking local semantic argument structures across sentence boundaries.
Ruppenhofer, J. +4 more
openaire +2 more sources
In this work, we have performed human‐based evaluation of three post hoc explainability techniques, Local Interpretable Model Agnostic Explanations (LIME), Shapely Additive Explanations (SHAP), and integrated Gradients (IG) for a multilingual Bidirectional Encoder Representations from Transformers (mBERT) based binary and multi‐label misogyny ...
Sargam Yadav +2 more
wiley +1 more source
SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense
SemEval 2021 Task 7, HaHackathon, was the first shared task to combine the previously separate domains of humor detection and offense detection. We collected 10,000 texts from Twitter and the Kaggle Short Jokes dataset, and had each annotated for humor ...
J. A Meaney +4 more
semanticscholar +1 more source

