human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "past present future a computational investigation of the typology of tense in 1000 languages"
  Abstract: We present SuperPivot, an analysis method for low-resource languages that occur in a superparallel corpus, i.e., in a corpus that contains an order of magnitude more languages than parallel corpora currently in use. We show that SuperPivot performs well for the crosslingual analysis of the linguistic phenomenon of tense. We produce analysis results for more than 1000 languages, conducting - to the best of our knowledge - the largest crosslingual computational study performed to date. We extend existing methodology for leveraging parallel corpora for typological analysis by overcoming a limiting assumption of earlier work: We only require that a linguistic feature is overtly marked in a few of thousands of languages as opposed to requiring that it be marked in all languages under investigation.

Connected through hyperedge HE-1 (induced by source paper "uncovering probabilistic implications in typological knowledge bases"):
  with members:
    - "a probabilistic generative model of linguistic typology"
    - "semantic drift in multilingual representations"
    - "parameter sharing between dependency parsers for related languages"
    - "modeling language variation and universals a survey on typological linguistics for natural language processing"
    - "from phonology to syntax unsupervised linguistic typology at different levels with language embeddings"
    - "a deep generative model of vowel formant typology"
    - "the galactic dependencies treebanks getting more data by synthesizing new languages"
    - "learning language representations for typology prediction"

Connected through hyperedge HE-2 (induced by source paper "a probabilistic generative model of linguistic typology"):
  with members:
    - "what do language representations really represent"
    - "semantic drift in multilingual representations"
    - "modeling language variation and universals a survey on typological linguistics for natural language processing"
    - "from phonology to syntax unsupervised linguistic typology at different levels with language embeddings"
    - "learning language representations for typology prediction"
    - "probabilistic typology deep generative models of vowel inventories"
    - "tracking typological traits of uralic languages in distributed language representations"
    - "continuous multilinguality with language vectors"

Connected through hyperedge HE-3 (induced by source paper "unisent universal adaptable sentiment lexica for 1000 languages"):
  with members:
    - "bilingual sentiment embeddings joint projection of sentiment across languages"
    - "leveraging large amounts of weakly supervised data for multi language sentiment classification"
    - "word translation without parallel data"
    - "inducing domain specific sentiment lexicons from unlabeled corpora"
    - "enriching word vectors with subword information"
    - "comparing fifty natural languages and twelve genetic languages using word embedding language divergence weld as a quantitative measure of language distance"
    - "ultradense word embeddings by orthogonal transformation"
    - "statistically significant detection of linguistic change"

Connected through hyperedge HE-4 (induced by source paper "language comparison via network topology"):
  with members:
    - "what do language representations really represent"
    - "graph embedding techniques applications and performance a survey"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "network representation learning a survey"
    - "persistent topology of syntax"
    - "nltk the natural language toolkit"

Connected through hyperedge HE-5 (induced by source paper "modeling language variation and universals a survey on typological linguistics for natural language processing"):
  with members:
    - "morphological word embeddings"
    - "from phonology to syntax unsupervised linguistic typology at different levels with language embeddings"
    - "xnli evaluating cross lingual sentence representations"
    - "a deep generative model of vowel formant typology"
    - "deep contextualized word representations"
    - "deep probabilistic logic a unifying framework for indirect supervision"
    - "adversarial propagation and zero shot cross lingual transfer of word vector specialization"
    - "unsupervised neural machine translation"

Connected through hyperedge HE-6 (induced by source paper "embedding learning through multilingual concept induction"):
  with members:
    - "graph based bilingual word embedding for statistical machine translation"
    - "emerging language spaces learned from massively multilingual corpora"
    - "learning language representations for typology prediction"
    - "cross lingual models of word embeddings an empirical comparison"
    - "continuous multilinguality with language vectors"
    - "a strong baseline for learning cross lingual word embeddings from sentence alignments"
    - "massively multilingual word embeddings"
    - "multilingual language processing from bytes"

Connected through hyperedge HE-7 (induced by source paper "from phonology to syntax unsupervised linguistic typology at different levels with language embeddings"):
  with members:
    - "su rug at the conll sigmorphon 2017 shared task morphological inflection with attentional sequence to sequence models"
    - "conll sigmorphon 2017 shared task universal morphological reinflection in 52 languages"
    - "learning language representations for typology prediction"
    - "probabilistic typology deep generative models of vowel inventories"
    - "encoding of phonology in a recurrent neural model of grounded speech"
    - "massively multilingual neural grapheme to phoneme conversion"
    - "tracking typological traits of uralic languages in distributed language representations"
    - "continuous multilinguality with language vectors"

Connected through hyperedge HE-8 (induced by source paper "emerging language spaces learned from massively multilingual corpora"):
  with members:
    - "tracking typological traits of uralic languages in distributed language representations"
    - "continuous multilinguality with language vectors"
    - "fully character level neural machine translation without explicit segmentation"
    - "multi source neural translation"
    - "google s multilingual neural machine translation system enabling zero shot translation"
    - "multi task sequence to sequence learning"
    - "on the properties of neural machine translation encoder decoder approaches"
    - "neural machine translation by jointly learning to align and translate"

Question: Please tell me which class the center node 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.CL(Computation and Language)