Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Hardalov, Momchil"'
Autor:
Beshirov, Angel, Dobreva, Milena, Dimitrov, Dimitar, Hardalov, Momchil, Koychev, Ivan, Nakov, Preslav
The digitization of historical documents is crucial for preserving the cultural heritage of the society. An important step in this process is converting scanned images to text using Optical Character Recognition (OCR), which can enable further search
Externí odkaz:
http://arxiv.org/abs/2409.00527
Training with mixed data distributions is a common and important part of creating multi-task and instruction-following models. The diversity of the data distributions and cost of joint training makes the optimization procedure extremely challenging.
Externí odkaz:
http://arxiv.org/abs/2406.15570
Autor:
Mahaut, Matéo, Aina, Laura, Czarnowska, Paula, Hardalov, Momchil, Müller, Thomas, Màrquez, Lluís
Large Language Models (LLMs) tend to be unreliable in the factuality of their answers. To address this problem, NLP researchers have proposed a range of techniques to estimate LLM's confidence over facts. However, due to the lack of a systematic comp
Externí odkaz:
http://arxiv.org/abs/2406.13415
Autor:
Hardalov, Momchil, Atanasova, Pepa, Mihaylov, Todor, Angelova, Galia, Simov, Kiril, Osenova, Petya, Stoyanov, Ves, Koychev, Ivan, Nakov, Preslav, Radev, Dragomir
Publikováno v:
ACL 2023
We present bgGLUE(Bulgarian General Language Understanding Evaluation), a benchmark for evaluating language models on Natural Language Understanding (NLU) tasks in Bulgarian. Our benchmark includes NLU tasks targeting a variety of NLP problems (e.g.,
Externí odkaz:
http://arxiv.org/abs/2306.02349
Autor:
Lesci, Pietro, Fujinuma, Yoshinari, Hardalov, Momchil, Shang, Chao, Benajiba, Yassine, Marquez, Lluis
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2023
Sequence-to-sequence state-of-the-art systems for dialogue state tracking (DST) use the full dialogue history as input, represent the current state as a list with all the slots, and generate the entire state from scratch at each dialogue turn. This a
Externí odkaz:
http://arxiv.org/abs/2305.17020
Publikováno v:
ICASSP 2024
Developing tools to automatically detect check-worthy claims in political debates and speeches can greatly help moderators of debates, journalists, and fact-checkers. While previous work on this problem has focused exclusively on the text modality, h
Externí odkaz:
http://arxiv.org/abs/2306.05535
Publikováno v:
AACL-IJCNLP 2022
While there has been substantial progress in developing systems to automate fact-checking, they still lack credibility in the eyes of the users. Thus, an interesting approach has emerged: to perform automatic fact-checking by verifying whether an inp
Externí odkaz:
http://arxiv.org/abs/2210.04447
Autor:
Vachev, Kristiyan, Hardalov, Momchil, Karadzhov, Georgi, Georgiev, Georgi, Koychev, Ivan, Nakov, Preslav
Testing with quiz questions has proven to be an effective way to assess and improve the educational process. However, manually creating quizzes is tedious and time-consuming. To address this challenge, we present Leaf, a system for generating multipl
Externí odkaz:
http://arxiv.org/abs/2201.09012
Autor:
Mihaylova, Tsvetomila, Gencheva, Pepa, Boyanov, Martin, Yovcheva, Ivana, Mihaylov, Todor, Hardalov, Momchil, Kiprov, Yasen, Balchev, Daniel, Koychev, Ivan, Nakov, Preslav, Nikolova, Ivelina, Angelova, Galia
Publikováno v:
SemEval-2016
We present the system we built for participating in SemEval-2016 Task 3 on Community Question Answering. We achieved the best results on subtask C, and strong results on subtasks A and B, by combining a rich set of various types of features: semantic
Externí odkaz:
http://arxiv.org/abs/2109.15120
The goal of stance detection is to determine the viewpoint expressed in a piece of text towards a target. These viewpoints or contexts are often expressed in many different languages depending on the user and the platform, which can be a local news o
Externí odkaz:
http://arxiv.org/abs/2109.06050