Assumption Grammars for Knowledge Based Systems. - Verónica Dahl; Pablo Accuosto; Stephen Rochefort; Marius Scurtescu (Informatica (Slovenia), 1998)

Multi-level mining and visualization of scientific text collections: Exploring a bi-lingual scientific repository. - Pablo Accuosto; Francesco Ronzano; Daniel Ferrés; Horacio Saggion (WOSP@JCDL, 2017)

LaSTUS/TALN @ CLSciSumm-17: Cross-document Sentence Matching and Scientific Text Summarization Systems. - Ahmed AbuRa'ed; Luis Chiruzzo; Horacio Saggion; Pablo Accuosto; Àlex Bravo (BIRNDL@SIGIR (2), 2017)

MultiScien: a Bi-Lingual Natural Language Processing System for Mining and Enrichment of Scientific Collections. - Horacio Saggion; Francesco Ronzano; Pablo Accuosto; Daniel Ferrés (BIRNDL@SIGIR (1), 2017)

Improving the accessibility of biomedical texts by semantic enrichment and definition expansion. - Pablo Accuosto; Horacio Saggion (Proces. del Leng. Natural, 2018)

Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts. - Pablo Accuosto; Horacio Saggion (ArgMining@ACL, 2019)

Discourse-Driven Argument Mining in Scientific Abstracts. - Pablo Accuosto; Horacio Saggion (NLDB, 2019)

LaSTUS-TALN at IberLEF 2019 eHealth-KD Challenge: Deep Learning Approaches to Information Extraction in Biomedical Texts. - Àlex Bravo; Pablo Accuosto; Horacio Saggion (IberLEF@SEPLN, 2019)

Cross-lingual semantic annotation of biomedical literature: experiments in Spanish and English. - Naiara Pérez; Pablo Accuosto; Àlex Bravo; Montse Cuadros; Eva Martínez Garcia; Horacio Saggion; German Rigau (Bioinform., 2020)

Mining arguments in scientific abstracts with discourse-level embeddings. - Pablo Accuosto; Horacio Saggion (Data Knowl. Eng., 2020)

Argumentation Mining in Scientific Literature: From Computational Linguistics to Biomedicine. - Pablo Accuosto; Mariana Neves 002; Horacio Saggion (BIR@ECIR, 2021)

Mining arguments in scientific abstracts: Application to argumentative quality assessment. - Pablo Accuosto (2021)

PretoxTM: a text mining system for extracting treatment-related findings from preclinical toxicology reports. - Javier Corvi; Nicolás Díaz-Roussel; José M. Fernández; Francesco Ronzano; Emilio Centeno; Pablo Accuosto; Celine Ibrahim; Shoji Asakura; Frank Bringezu; Mirjam Fröhlicher; Annika Kreuchwig; Yoko Nogami; et al. (J. Cheminformatics, 2025)