no code implementations • SIGDIAL (ACL) 2020 • Siqi Shen, Charles Welch, Rada Mihalcea, Verónica Pérez-Rosas
We introduce a counseling dialogue system that seeks to assist counselors while they are learning and refining their counseling skills.
no code implementations • NAACL (CLPsych) 2021 • Do June Min, Verónica Pérez-Rosas, Rada Mihalcea
Automatic speech recognition (ASR) is a crucial step in many natural language processing (NLP) applications, as often available data consists mainly of raw speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 14 Nov 2023 • Do June Min, Verónica Pérez-Rosas, Kenneth Resnicow, Rada Mihalcea
We introduce VERVE, a template-based rewriting system with paraphrase-augmented training and adaptive template updating.
no code implementations • 14 Oct 2022 • Ashkan Kazemi, Artem Abzaliev, Naihao Deng, Rui Hou, Scott A. Hale, Verónica Pérez-Rosas, Rada Mihalcea
We propose a novel system to help fact-checkers formulate search queries for known misinformation claims and effectively search across multiple social media platforms.
no code implementations • 14 Feb 2022 • Ashkan Kazemi, Zehua Li, Verónica Pérez-Rosas, Scott A. Hale, Rada Mihalcea
We conduct both classification and retrieval experiments, in monolingual (English only), multilingual (Spanish, Portuguese), and cross-lingual (Hindi-English) settings using multilingual transformer models such as XLM-RoBERTa and multilingual embeddings such as LaBSE and SBERT.
1 code implementation • Findings (ACL) 2021 • Allison Lahnala, Yuntian Zhao, Charles Welch, Jonathan K. Kummerfeld, Lawrence An, Kenneth Resnicow, Rada Mihalcea, Verónica Pérez-Rosas
A growing number of people engage in online health forums, making it important to understand the quality of the advice they receive.
no code implementations • NAACL (NLP4IF) 2021 • Ashkan Kazemi, Zehua Li, Verónica Pérez-Rosas, Rada Mihalcea
In this paper, we explore the construction of natural language explanations for news claims, with the goal of assisting fact-checking and news evaluation applications.
no code implementations • COLING 2020 • Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea
Our results show that a subset of words belonging to specific psycholinguistic categories tend to vary more in their representations across users and that combining generic and personalized word embeddings yields the best performance, with a 4. 7% relative reduction in perplexity.
no code implementations • COLING 2020 • Ashkan Kazemi, Verónica Pérez-Rosas, Rada Mihalcea
We introduce Biased TextRank, a graph-based content extraction method inspired by the popular TextRank algorithm that ranks text spans according to their importance for language processing tasks and according to their relevance to an input "focus."
1 code implementation • EMNLP 2020 • Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea
Word embeddings are usually derived from corpora containing text from many individuals, thus leading to general purpose representations rather than individually personalized representations.
no code implementations • EMNLP (NLP-COVID19) 2020 • Charles Welch, Allison Lahnala, Verónica Pérez-Rosas, Siqi Shen, Sarah Seraj, Larry An, Kenneth Resnicow, James Pennebaker, Rada Mihalcea
The ongoing COVID-19 pandemic has raised concerns for many regarding personal and public health implications, financial security and economic stability.
no code implementations • 4 Sep 2019 • Rui Hou, Verónica Pérez-Rosas, Stacy Loeb, Rada Mihalcea
Recent years have witnessed a significant increase in the online sharing of medical information, with videos representing a large fraction of such online sources.
1 code implementation • 5 Jun 2019 • Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria
As a first step towards enabling the development of multimodal approaches for sarcasm detection, we propose a new sarcasm dataset, Multimodal Sarcasm Detection Dataset (MUStARD), compiled from popular TV shows.
1 code implementation • 25 Apr 2019 • Charles Welch, Verónica Pérez-Rosas, Jonathan K. Kummerfeld, Rada Mihalcea
We examine a large dialog corpus obtained from the conversation history of a single individual with 104 conversation partners.
no code implementations • COLING 2018 • Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre, Rada Mihalcea
The proliferation of misleading information in everyday access media outlets such as social media feeds, news blogs, and online newspapers have made it challenging to identify trustworthy news sources, thus increasing the need for computational tools able to provide insights into the reliability of online content.