1 code implementation • 1 Dec 2022 • Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma
Information Retrieval evaluation has traditionally focused on defining principled ways of assessing the relevance of a ranked list of documents with respect to a query.
no code implementations • 25 Sep 2021 • Raluca Alexandra Fetic, Mikkel Jordahn, Lucas Chaves Lima, Rasmus Arpe Fogh Egebæk, Martin Carsten Nielsen, Benjamin Biering, Lars Kai Hansen
We then observe how the cosine similarities decrease as transcription noise increases and conclude that even when automatic speech recognition transcripts are erroneous, it is still possible to obtain high-quality topic embeddings from the transcriptions.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • ACL 2021 • Casper Hansen, Christian Hansen, Lucas Chaves Lima
Most fact checking models for automatic fake news detection are based on reasoning: given a claim with associated evidence, the models aim to estimate the claim veracity based on the supporting or refuting content within the evidence.
no code implementations • 3 Mar 2021 • Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro
Our approach consists of 3 steps: (1) we create an initial run with BM25 and RM3; (2) we estimate credibility and misinformation scores for the documents in the initial run; (3) we merge the relevance, credibility and misinformation scores to re-rank documents in the initial run.
1 code implementation • 22 Dec 2020 • Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma
The state of the art in learning meaningful semantic representations of words is the Transformer model and its attention mechanisms.
no code implementations • 25 Nov 2020 • Lucas Chaves Lima, Casper Hansen, Christian Hansen, Dongsheng Wang, Maria Maistro, Birger Larsen, Jakob Grue Simonsen, Christina Lioma
This report describes the participation of two Danish universities, University of Copenhagen and Aalborg University, in the international search engine competition on COVID-19 (the 2020 TREC-COVID Challenge) organised by the U. S. National Institute of Standards and Technology (NIST) and its Text Retrieval Conference (TREC) division.
no code implementations • IJCNLP 2019 • Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen
We contribute the largest publicly available dataset of naturally occurring factual claims for the purpose of automatic claim verification.
no code implementations • 20 Mar 2019 • Dongsheng Wang, Quichi Li, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma
In this paper, we operationalize the viewpoint that compositionality is contextual rather than deterministic, i. e., that whether a phrase is compositional or non-compositional depends on its context.