human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "utilisation de la linguistique en reconnaissance de la parole un etat de l art"):
  Abstract: To transcribe speech, automatic speech recognition systems use statistical methods, particularly hidden Markov model and N-gram models. Although these techniques perform well and lead to efficient systems, they approach their maximum possibilities. It seems thus necessary, in order to outperform current results, to use additional information, especially bound to language. However, introducing such knowledge must be realized taking into account specificities of spoken language (hesitations for example) and being robust to possible misrecognized words. This document presents a state of the art of these researches, evaluating the impact of the insertion of linguistic information on the quality of the transcription. ––– Pour transcrire des documents sonores, les systemes de reconnaissance de la parole font appel a des methodes statistiques, notamment aux chaines de Markov cachees et aux modeles N-grammes. Meme si ces techniques se sont revelees performantes, elles approchent du maximum de leurs possibilites avec la mise a disposition de corpus de taille suffisante et il semble necessaire, pour tenter d'aller au-dela des resultats actuels, d'utiliser des informations supplementaires, en particulier liees au langage. Integrer de telles connaissances linguistiques doit toutefois se faire en tenant compte des specificites de l'oral (presence d'hesitations par exemple) et en etant robuste a d'eventuelles erreurs de reconnaissance de certains mots. Ce document presente un etat de l'art des recherches de ce type, en evaluant l'impact de l'insertion des informations linguistiques sur la qualite de la transcription.

Includes members:
  Member "a bit of progress in language modeling":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "scaling laws for neural language models")
  Member "finding consensus in speech recognition word error minimization and other applications of confusion networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "modeling asr ambiguity for dialogue state tracking using word confusion networks")
  Member "tnt a statistical part of speech tagger":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "neural cross lingual transfer and limited annotated data for named entity recognition in danish")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.HC(Human-Computer Interaction)