1 code implementation • Findings (EMNLP) 2021 • Mohsen Mesgar, Leonardo F. R. Ribeiro, Iryna Gurevych
Entity grids and entity graphs are two frameworks for modeling local coherence.
no code implementations • 3 Jun 2024 • Wen Lai, Mohsen Mesgar, Alexander Fraser
We perform multilingual instruction tuning on the constructed instruction data and further align the LLMs with human feedback using the DPO algorithm on our cross-lingual human feedback dataset.
2 code implementations • 29 Apr 2024 • Wei Zhou, Mohsen Mesgar, Heike Adel, Annemarie Friedrich
To investigate these aspects, we create and publish a novel TQA evaluation benchmark in English.
1 code implementation • 19 Dec 2022 • Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych
We hypothesize that the under-specification of a natural language description can be resolved by asking clarification questions.
no code implementations • 12 Oct 2022 • Mohsen Mesgar, Thy Thy Tran, Goran Glavas, Iryna Gurevych
First, the unexplored combination of the cross-encoder architecture (with parameterized similarity scoring function) and episodic meta-learning consistently yields the best FSIC performance.
2 code implementations • 14 Feb 2022 • Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych
The applications of conversational agents for scientific disciplines (as expert domains) are understudied due to the lack of dialogue data to train such agents.
Ranked #1 on Fact Selection on ArgSciChat
no code implementations • EACL 2021 • Mohsen Mesgar, Edwin Simpson, Iryna Gurevych
Neural models for response generation produce responses that are semantically plausible but not necessarily factually consistent with facts describing the speaker's persona.
no code implementations • 23 Nov 2019 • Mohsen Mesgar, Paul Youssef, Lin Li, Dominik Bierwirth, Yihao Li, Christian M. Meyer, Iryna Gurevych
Our conversational agent UKP-ATHENA assists NLP researchers in finding and exploring scientific literature, identifying relevant authors, planning or post-processing conference visits, and preparing paper submissions using a unified interface based on natural language inputs and responses.
1 code implementation • ACL 2020 • Mohsen Mesgar, Sebastian Bücker, Iryna Gurevych
Recent dialogue coherence models use the coherence features designed for monologue texts, e. g. nominal entities, to represent utterances and then explicitly augment them with dialogue-relevant features, e. g., dialogue act labels.
1 code implementation • 30 Jul 2019 • Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych
The predominant RL paradigm for summarisation learns a cross-input policy, which requires considerable time, data and parameter tuning due to the huge search spaces and the delayed rewards.
1 code implementation • NAACL 2019 • Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych
Visual modifications to text are often used to obfuscate offensive comments in social media (e. g., "! d10t") or as a writing style ("1337" in "leet speak"), among other scenarios.
no code implementations • EMNLP 2018 • Mohsen Mesgar, Michael Strube
We propose a local coherence model that captures the flow of what semantically connects adjacent sentences in a text.
no code implementations • WS 2017 • Leo Born, Mohsen Mesgar, Michael Strube
Although coherence is an important aspect of any text generation system, it has received little attention in the context of machine translation (MT) so far.