Results 61 to 70 of about 16,304 (224)

A Single Attention-Based Combination of CNN and RNN for Relation Classification

open access: yesIEEE Access, 2019
As a vital task in natural language processing, relation classification aims to identify relation types between entities from texts. In this paper, we propose a novel Att-RCNN model to extract text features and classify relations by combining recurrent ...
Xiaoyu Guo   +4 more
doaj   +1 more source

Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge

open access: yes, 2018
Luminoso participated in the SemEval 2018 task on "Capturing Discriminative Attributes" with a system based on ConceptNet, an open knowledge graph focused on general knowledge.
Lowry-Duda, Joanna, Speer, Robyn
core   +1 more source

Target-Aspect-Sentiment Joint Detection: Uncovering Explicit and Implicit Targets Through Aspect-Target-Context-Aware Detection

open access: yesIEEE Access
Target Aspect Sentiment Detection (TASD) is challenging because it involves various Natural Language Processing (NLP) subtasks including opinion target detection and sentiment polarity classification.
Mohammad Radi, Nazlia Omar, Wandeep Kaur
doaj   +1 more source

Improving the state-of-the-art in Thai semantic similarity using distributional semantics and ontological information.

open access: yesPLoS ONE, 2021
Research into semantic similarity has a long history in lexical semantics, and it has applications in many natural language processing (NLP) tasks like word sense disambiguation or machine translation.
Ponrudee Netisopakul   +3 more
doaj   +1 more source

ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

open access: yes, 2017
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]

open access: yesProceedings of The 12th International Workshop on Semantic Evaluation, 2018
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

SemEval-2007 task 04 [PDF]

open access: yesProceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007
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]

open access: yesProceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
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-2016 Task 3: Community Question Answering [PDF]

open access: yesProceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016
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-2018 Task 1: Affect in Tweets [PDF]

open access: yesProceedings of The 12th International Workshop on Semantic Evaluation, 2018
We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferring the affectual state of a person from their tweet. For each task, we created labeled data from English, Arabic, and Spanish tweets. The individual tasks are: 1. emotion intensity regression, 2. emotion intensity ordinal classification, 3.
Mohammad Salameh   +3 more
openaire   +2 more sources

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