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Towards a Seamless Integration of Word Senses into Downstream NLP
  Applications

Towards a Seamless Integration of Word Senses into Downstream NLP Applications

18 October 2017
Mohammad Taher Pilehvar
Jose Camacho-Collados
Roberto Navigli
Nigel Collier
ArXiv (abs)PDFHTML

Papers citing "Towards a Seamless Integration of Word Senses into Downstream NLP Applications"

20 / 20 papers shown
Language Models for Text Classification: Is In-Context Learning Enough?
Language Models for Text Classification: Is In-Context Learning Enough?
A. Edwards
Jose Camacho-Collados
LRM
252
53
0
26 Mar 2024
Knowledge Graph Fusion for Language Model Fine-tuning
Knowledge Graph Fusion for Language Model Fine-tuning
Nimesh Bhana
Terence L van Zyl
194
0
0
21 Jun 2022
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and
  Beyond
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and BeyondArtificial Intelligence (AI), 2021
Daniel Loureiro
A. Jorge
Jose Camacho-Collados
242
30
0
26 May 2021
Multi-sense embeddings through a word sense disambiguation process
Multi-sense embeddings through a word sense disambiguation processExpert systems with applications (ESWA), 2019
Terry Ruas
W. Grosky
Akiko Aizawa
339
40
0
21 Jan 2021
Analysis and Evaluation of Language Models for Word Sense Disambiguation
Analysis and Evaluation of Language Models for Word Sense Disambiguation
Daniel Loureiro
Kiamehr Rezaee
Mohammad Taher Pilehvar
Jose Camacho-Collados
302
14
0
26 Aug 2020
Don't Neglect the Obvious: On the Role of Unambiguous Words in Word
  Sense Disambiguation
Don't Neglect the Obvious: On the Role of Unambiguous Words in Word Sense DisambiguationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Daniel Loureiro
Jose Camacho-Collados
342
13
0
29 Apr 2020
Neural Attentive Bag-of-Entities Model for Text Classification
Neural Attentive Bag-of-Entities Model for Text ClassificationConference on Computational Natural Language Learning (CoNLL), 2019
Ikuya Yamada
Hiroyuki Shindo
269
34
0
03 Sep 2019
LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations
LINSPECTOR WEB: A Multilingual Probing Suite for Word RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Max Eichler
Gözde Gül Sahin
Iryna Gurevych
244
15
0
26 Jul 2019
Why Machines Cannot Learn Mathematics, Yet
Why Machines Cannot Learn Mathematics, Yet
André Greiner-Petter
Terry Ruas
M. Schubotz
Akiko Aizawa
W. Grosky
Bela Gipp
133
8
0
20 May 2019
One Homonym per Translation
One Homonym per Translation
B. Hauer
Grzegorz Kondrak
193
13
0
17 Apr 2019
Using Multi-Sense Vector Embeddings for Reverse Dictionaries
Using Multi-Sense Vector Embeddings for Reverse Dictionaries
Michael A. Hedderich
Andrew Yates
Dietrich Klakow
Gerard de Melo
151
20
0
02 Apr 2019
LINSPECTOR: Multilingual Probing Tasks for Word Representations
LINSPECTOR: Multilingual Probing Tasks for Word RepresentationsInternational Conference on Computational Logic (ICCL), 2019
Gözde Gül Sahin
Clara Vania
Ilia Kuznetsov
Iryna Gurevych
227
45
0
22 Mar 2019
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive
  Meaning Representations
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations
Mohammad Taher Pilehvar
Jose Camacho-Collados
508
552
0
28 Aug 2018
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis
Mohammad Taher Pilehvar
Nigel Collier
177
59
0
23 Aug 2018
The Interplay between Lexical Resources and Natural Language Processing
The Interplay between Lexical Resources and Natural Language ProcessingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2018
Jose Camacho-Collados
Luis Espinosa-Anke
Mohammad Taher Pilehvar
102
3
0
02 Jul 2018
From Word to Sense Embeddings: A Survey on Vector Representations of
  Meaning
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
Jose Camacho-Collados
Mohammad Taher Pilehvar
389
357
0
10 May 2018
Dynamic Meta-Embeddings for Improved Sentence Representations
Dynamic Meta-Embeddings for Improved Sentence RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Douwe Kiela
Changhan Wang
Dong Wang
AI4TS
234
110
0
21 Apr 2018
On the Role of Text Preprocessing in Neural Network Architectures: An
  Evaluation Study on Text Categorization and Sentiment Analysis
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
Jose Camacho-Collados
Mohammad Taher Pilehvar
302
162
0
06 Jul 2017
Dynamic Integration of Background Knowledge in Neural NLU Systems
Dynamic Integration of Background Knowledge in Neural NLU Systems
Dirk Weissenborn
Tomávs Kovciský
Chris Dyer
306
62
0
08 Jun 2017
Embedding Words and Senses Together via Joint Knowledge-Enhanced
  Training
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Goran Frehse
Jose Camacho-Collados
Ignacio Iacobacci
Roberto Navigli
207
78
0
08 Dec 2016
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