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Found 12 papers, 6 papers with code
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation
While traditional natural language generation metrics are fast, they are not very reliable.
FREDSum: A Dialogue Summarization Corpus for French Political Debates
In this paper, we present a dataset of French political debates for the purpose of enhancing resources for multi-lingual dialogue summarization.
The Claire French Dialogue Dataset
We present the Claire French Dialogue Dataset (CFDD), a resource created by members of LINAGORA Labs in the context of the OpenLLM France initiative.
Automatic Analysis of Substantiation in Scientific Peer Reviews
With the increasing amount of problematic peer reviews in top AI conferences, the community is urgently in need of automatic quality control measures.
The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text
This study investigates the consequences of training language models on synthetic data generated by their predecessors, an increasingly prevalent practice given the prominence of powerful generative models.
DATScore: Evaluating Translation with Data Augmented Translations
The rapid development of large pretrained language models has revolutionized not only the field of Natural Language Generation (NLG) but also its evaluation.
Abstractive Meeting Summarization: A Survey
A system that could reliably identify and sum up the most important points of a conversation would be valuable in a wide variety of real-world contexts, from business meetings to medical consultations to customer service calls.
Abstractive Dialogue Summarization
Abstractive Text Summarization
+2
NLP Research and Resources at DaSciM, Ecole Polytechnique
DaSciM (Data Science and Mining) part of LIX at Ecole Polytechnique, established in 2013 and since then producing research results in the area of large scale data analysis via methods of machine and deep learning.
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation
While traditional natural language generation metrics are fast, they are not very reliable.
Speaker-change Aware CRF for Dialogue Act Classification
CRF models the conditional probability of the target DA label sequence given the input utterance sequence.
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding
Abstractive community detection is an important spoken language understanding task, whose goal is to group utterances in a conversation according to whether they can be jointly summarized by a common abstractive sentence.
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization
We introduce a novel graph-based framework for abstractive meeting speech summarization that is fully unsupervised and does not rely on any annotations.
Ranked #1 on
Meeting Summarization
on ICSI Meeting Corpus
Abstractive Dialogue Summarization
Abstractive Text Summarization
+6
