1 code implementation • 29 Mar 2024 • Monica Munnangi, Sergey Feldman, Byron C Wallace, Silvio Amir, Tom Hope, Aakanksha Naik
In this work we set out to improve LLM performance on biomedical NER in limited data settings via a new knowledge augmentation approach which incorporates definitions of relevant concepts on-the-fly.
no code implementations • 8 Sep 2023 • Hiba Ahsan, Denis Jered McInerney, Jisoo Kim, Christopher Potter, Geoffrey Young, Silvio Amir, Byron C. Wallace
Our method entails tasking an LLM to infer whether a patient has, or is at risk of, a particular condition on the basis of associated notes; if so, we ask the model to summarize the supporting evidence.
no code implementations • 8 May 2023 • Somin Wadhwa, Silvio Amir, Byron C. Wallace
Relation extraction (RE) is the core NLP task of inferring semantic relationships between entities from text.
no code implementations • 5 May 2023 • Somin Wadhwa, Jay DeYoung, Benjamin Nye, Silvio Amir, Byron C. Wallace
However, results from RCTs are presented in (often unstructured) natural language articles describing the design, execution, and outcomes of trials; clinicians must manually extract findings pertaining to interventions and outcomes of interest from such articles.
no code implementations • 12 Oct 2022 • Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron Wallace
Using this corpus, we introduce the task of retrieving trustworthy evidence relevant to a given claim made on social media.
no code implementations • NAACL 2021 • Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace
Recent work has shown that fine-tuning large networks is surprisingly sensitive to changes in random seed(s).
no code implementations • 13 Oct 2020 • Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia L. Nobles
The #MeToo movement on Twitter has drawn attention to the pervasive nature of sexual harassment and violence.
no code implementations • WS 2019 • Silvio Amir, Mark Dredze, John W. Ayers
The ability to track mental health conditions via social media opened the doors for large-scale, automated, mental health surveillance.
1 code implementation • 30 Apr 2017 • Silvio Amir, Glen Coppersmith, Paula Carvalho, Mário J. Silva, Byron C. Wallace
Our experimental results demonstrate that the user embeddings capture similarities between users with respect to mental conditions, and are predictive of mental health.
no code implementations • 31 Dec 2016 • Silvio Amir, Rámon Astudillo, Wang Ling, Paula C. Carvalho, Mário J. Silva
This allows us to expand lexicons describing multiple semantic properties.
3 code implementations • CONLL 2016 • Silvio Amir, Byron C. Wallace, Hao Lyu, Paula Carvalho Mário J. Silva
We introduce a deep neural network for automated sarcasm detection.
1 code implementation • EMNLP 2015 • Wang Ling, Tiago Luís, Luís Marujo, Ramón Fernandez Astudillo, Silvio Amir, Chris Dyer, Alan W. black, Isabel Trancoso
We introduce a model for constructing vector representations of words by composing characters using bidirectional LSTMs.
Ranked #4 on Part-Of-Speech Tagging on Penn Treebank