activity
20172025
collaborators

5 papers

cs.AI2025

A Study on Leveraging Search and Self-Feedback for Agent Reasoning

Karthikeyan K, Michelle Yuan, Elman Mansimov +6

Recent works have demonstrated that incorporating search during inference can significantly improve reasoning capabilities of language agents. Some approaches may make use of the g…

cs.CL2020

A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection

Daniele Bonadiman, Alessandro Moschitti

An essential task of most Question Answering (QA) systems is to re-rank the set of answer candidates, i.e., Answer Sentence Selection (A2S). These candidates are typically sentence…

cs.CL2019

Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning

Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal

The goal of a Question Paraphrase Retrieval (QPR) system is to retrieve equivalent questions that result in the same answer as the original question. Such a system can be used to u…

cs.CL2018

Injecting Relational Structural Representation in Neural Networks for Question Similarity

Antonio Uva, Daniele Bonadiman, Alessandro Moschitti

Effectively using full syntactic parsing information in Neural Networks (NNs) to solve relational tasks, e.g., question similarity, is still an open problem. In this paper, we prop…

cs.CL2017

Multitask Learning with Deep Neural Networks for Community Question Answering

Daniele Bonadiman, Antonio Uva, Alessandro Moschitti

In this paper, we developed a deep neural network (DNN) that learns to solve simultaneously the three tasks of the cQA challenge proposed by the SemEval-2016 Task 3, i.e., question…