INESC-ID@ASSIN: Medição de Similaridade Semântica e Reconhecimento de Inferência Textual

Pedro Fialho; Ricardo Marques; Bruno Martins; Luísa Coheur; Paulo Quaresma

INESC-ID@ASSIN: Medição de Similaridade Semântica e Reconhecimento de Inferência Textual

Pedro Fialho, Ricardo Marques, Bruno Martins, Luísa Coheur, Paulo Quaresma

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

In this article we present INESC-ID@ASSIN, a system that competed in the 2016 joint evaluation effort entitled Avaliação de Similaridade Semântica e Inferência Textual (ASSIN), in the tasks of semantic similarity and textual entailment recognition. INESC-ID@ASSIN addresses the problem of detecting sentence similarity as a regression task, and it addresses textual entailment as a classification task. Although INESC-ID@ASSIN relies mainly on simple lexical features for detecting paraphrases and recognizing textual entailment, promising results were achieved in this joint evaluation.

Original language	Multiple
Pages (from-to)	33-42
Journal	Linguamatica
Volume	8
Issue number	2
Publication status	Published - 1 Nov 2016
Externally published	Yes

Keywords

aprendizagem supervisionada
regressão
classificação

Access to Document

http://linguamatica.com/index.php/linguamatica/article/view/v8n2-4

Rage: Realising an Applied Gaming Eco-system
Westera, W., Georgiadis, K., Saveski, G., van Lankveld, G., Bahreini, K., van der Vegt, W., Berkhout, J., Nyamsuren, E., Kluijfhout, E. & Nadolski, R.
European Union
1/02/15 → 31/07/19
Project: Research

Cite this

@article{cd7fe88137e047b894c28a645ac6cb2b,

title = "INESC-ID@ASSIN: Medi{\c c}{\~a}o de Similaridade Sem{\^a}ntica e Reconhecimento de Infer{\^e}ncia Textual",

abstract = "In this article we present INESC-ID@ASSIN, a system that competed in the 2016 joint evaluation effort entitled Avalia{\c c}{\~a}o de Similaridade Sem{\^a}ntica e Infer{\^e}ncia Textual (ASSIN), in the tasks of semantic similarity and textual entailment recognition. INESC-ID@ASSIN addresses the problem of detecting sentence similarity as a regression task, and it addresses textual entailment as a classification task. Although INESC-ID@ASSIN relies mainly on simple lexical features for detecting paraphrases and recognizing textual entailment, promising results were achieved in this joint evaluation.",

keywords = "aprendizagem supervisionada, regress{\~a}o, classifica{\c c}{\~a}o",

author = "Pedro Fialho and Ricardo Marques and Bruno Martins and Lu{\'i}sa Coheur and Paulo Quaresma",

year = "2016",

month = nov,

day = "1",

language = "Multiple",

volume = "8",

pages = "33--42",

journal = "Linguamatica",

issn = "1647-0818",

publisher = "Universidade do Minho",

number = "2",

}

TY - JOUR

T1 - INESC-ID@ASSIN: Medição de Similaridade Semântica e Reconhecimento de Inferência Textual

AU - Fialho, Pedro

AU - Marques, Ricardo

AU - Martins, Bruno

AU - Coheur, Luísa

AU - Quaresma, Paulo

PY - 2016/11/1

Y1 - 2016/11/1

N2 - In this article we present INESC-ID@ASSIN, a system that competed in the 2016 joint evaluation effort entitled Avaliação de Similaridade Semântica e Inferência Textual (ASSIN), in the tasks of semantic similarity and textual entailment recognition. INESC-ID@ASSIN addresses the problem of detecting sentence similarity as a regression task, and it addresses textual entailment as a classification task. Although INESC-ID@ASSIN relies mainly on simple lexical features for detecting paraphrases and recognizing textual entailment, promising results were achieved in this joint evaluation.

AB - In this article we present INESC-ID@ASSIN, a system that competed in the 2016 joint evaluation effort entitled Avaliação de Similaridade Semântica e Inferência Textual (ASSIN), in the tasks of semantic similarity and textual entailment recognition. INESC-ID@ASSIN addresses the problem of detecting sentence similarity as a regression task, and it addresses textual entailment as a classification task. Although INESC-ID@ASSIN relies mainly on simple lexical features for detecting paraphrases and recognizing textual entailment, promising results were achieved in this joint evaluation.

KW - aprendizagem supervisionada

KW - regressão

KW - classificação

M3 - Article

SN - 1647-0818

VL - 8

SP - 33

EP - 42

JO - Linguamatica

JF - Linguamatica

IS - 2

ER -

INESC-ID@ASSIN: Medição de Similaridade Semântica e Reconhecimento de Inferência Textual

Abstract

Keywords

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Projects

Rage: Realising an Applied Gaming Eco-system

Cite this