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. (PI), Georgiadis, K. (CoI), Saveski, G. (CoI), van Lankveld, G. (CoI), Bahreini, K. (CoI), van der Vegt, W. (CoI), Berkhout, J. (CoI), Nyamsuren, E. (CoI), Kluijfhout, E. (CoI) & Nadolski, R. (CoI)
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

Access to Document

Projects

Rage: Realising an Applied Gaming Eco-system

Cite this