Search Results for author: Simone Filice

Found 18 papers, 2 papers with code

Learning to Generate Examples for Semantic Processing Tasks

no code implementations NAACL 2022 Danilo Croce, Simone Filice, Giuseppe Castellucci, Roberto Basili

Experiments in low resource settings show that augmenting the training material with the proposed strategy systematically improves the results on text classification and natural language inference tasks by up to 10% accuracy, outperforming existing DA approaches.

Data Augmentation Natural Language Inference +2

Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks

no code implementations21 Nov 2023 Simone Filice, Jason Ingyu Choi, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko

Experiments on three tasks, i. e., Shopping Utterance Generation, Product Question Generation and Query Auto Completion, demonstrate that our metrics are effective for evaluating STG tasks, and improve the agreement with human judgement up to 20% with respect to common NLG metrics.

Question Generation Question-Generation +1

Faithful Low-Resource Data-to-Text Generation through Cycle Training

1 code implementation24 May 2023 Zhuoer Wang, Marcus Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko

Cycle training uses two models which are inverses of each other: one that generates text from structured data, and one which generates the structured data from natural language text.

Data-to-Text Generation

Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks

no code implementations22 Feb 2023 Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko

In this paper, we approach the problem of incrementally expanding MTL models' capability to solve new tasks over time by distilling the knowledge of an already trained model on n tasks into a new one for solving n+1 tasks.

Continual Learning Multi-Task Learning

Learning to Solve NLP Tasks in an Incremental Number of Languages

no code implementations ACL 2021 Giuseppe Castellucci, Simone Filice, Danilo Croce, Roberto Basili

In real scenarios, a multilingual model trained to solve NLP tasks on a set of languages can be required to support new languages over time.

Continual Learning Relational Reasoning +2

VoiSeR: A New Benchmark for Voice-Based Search Refinement

no code implementations EACL 2021 Simone Filice, Giuseppe Castellucci, Marcus Collins, Eugene Agichtein, Oleg Rokhlenko

This common user intent is usually available through a {``}filter-by{''} interface on online shopping websites, but is challenging to support naturally via voice, as the intent of refinements must be interpreted in the context of the original search, the initial results, and the available product catalogue facets.

Attribute Conversational Search

Global Thread-Level Inference for Comment Classification in Community Question Answering

no code implementations EMNLP 2015 Shafiq Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov

Community question answering, a recent evolution of question answering in the Web context, allows a user to quickly consult the opinion of a number of people on a particular topic, thus taking advantage of the wisdom of the crowd.

Community Question Answering General Classification

Deep Learning in Semantic Kernel Spaces

no code implementations ACL 2017 Danilo Croce, Simone Filice, Giuseppe Castellucci, Roberto Basili

Kernel methods enable the direct usage of structured representations of textual data during language learning and inference tasks.

Feature Engineering Information Retrieval +1

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