#acl2019nlp search results
Are you still around #acl2019nlp? I'll be presenting this poster at the MWE workshop near hall 7, 11:00-12:30
If you are at #acl2019nlp, come see our talk where we show that neural models of inference largely ignore sentence structure - the same error made by Alice in the passage below. In Hall 1 at 2:30 with @TalLinzen and Ellie Pavlick.
Lancaster University team at #ACL2019nlp 🇮🇹 left to right: @DocElhaj @perayson @glorisonne @apmoore94 @Henrymossmoss @igezeani #NLProc 📚
Ready to present our poster on emphasis selection. Don’t know what that is? Come talk to me at poster #7 session 2. #acl2019 #ACL2019nlp
I have opinions on this 🙂 @verena_rieser starting the NLP for conversational AI workshop #acl2019nlp
Yejin Choi on COMET - an approach for commonsense reasoning without logically encoded graphs, where declarative knowledge is also expressed in natural language. NLP for ConvAI workshop #acl2019nlp
In case you missed our talk in the main conference, or had questions you did not get ask in the oral session, no worries, we have a poster in the bias in NLP workshop today #ACL2019 #ACL2019nlp #NLProc
What a star! Here's @Henrymossmoss presenting the FIESTA paper just now at #acl2019nlp. 1000+ people in the audience.
If you’re at @ACL2019_Italy, come stop by the @IBMResearch AI booth and meet our awesome researchers and hiring team! #ACL2019 #acl2019nlp #ibm #NLProc
Yes! This should be mandatory. Very interesting talk by @strubell at #acl2019nlp 🌱 👉arxiv.org/abs/1906.02243
Thank you all for comments and feedback about our work on 'Cross-domain and cross-lingual abusive language detection'! ☺️@acl_srw #acl2019nlp @diunito @Dadang_Ewp It was a great session! 👍🏻
#acl2019nlp paper on "Beyond BLEU: Training NMT with Semantic Similarity" by Wieting et al.: aclweb.org/anthology/P19-… I like this because it shows 1) a nice use case for semantic similarity, 2) that we can/should optimize seq2seq models for something other than likelihood or BLEU!
RoBERTa: A Robustly Optimized BERT Pretraining Approach #acl2019nlp #nlproc arxiv.org/abs/1907.11692
Oh ew, are they still at it? This came up during one of the #acl2019nlp keynotes. I really wish that people who want to give chatbots personae could just go straight for personality characteristics rather than associating those with demographics (esp. gender & age).
Our pick of the week: Yang et al. #acl2019nlp paper "Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach". By @surafelml aclweb.org/anthology/P19-… #nlproc @yang_zonghan
How to reduce word omission errors in NMT? Contrastive Learning approach by Yang et al. has some interesting results aclweb.org/anthology/P19-… Main idea: for a source sentence maximize margin b/n the probability of the ground truth translation and a noised translation. @fbk_mt
#acl2019nlp Zero-shot Chinese Discourse Dependency Parsing via Cross-lingual Mapping. (arXiv:1911.12014v1 [cs\.CL]) arxiv.org/abs/1911.12014
#acl2019nlp Emotional Neural Language Generation Grounded in Situational Contexts. (arXiv:1911.11161v1 [cs\.CL]) arxiv.org/abs/1911.11161
#acl2019nlp When is ACL's Deadline? A Scientific Conversational Agent. (arXiv:1911.10392v1 [cs\.CL]) arxiv.org/abs/1911.10392
#acl2019nlp Anaphora Resolution in Dialogue Systems for South Asian Languages. (arXiv:1911.09994v1 [cs\.CL]) arxiv.org/abs/1911.09994
#acl2019nlp Incorporating Textual Evidence in Visual Storytelling. (arXiv:1911.09334v1 [cs\.CL]) arxiv.org/abs/1911.09334
#acl2019nlp Zero-Shot Semantic Parsing for Instructions. (arXiv:1911.08827v1 [cs\.CL]) arxiv.org/abs/1911.08827
#acl2019nlp Natural Language Generation Challenges for Explainable AI. (arXiv:1911.08794v1 [cs\.CL]) arxiv.org/abs/1911.08794
#acl2019nlp Microsoft Research Asia's Systems for WMT19. (arXiv:1911.06191v1 [cs\.CL]) arxiv.org/abs/1911.06191
#acl2019nlp MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language Models. (arXiv:1911.06182v1 [cs\.CL]) arxiv.org/abs/1911.06182
#acl2019nlp A Massive Collection of Cross-Lingual Web-Document Pairs. (arXiv:1911.06154v1 [cs\.CL]) arxiv.org/abs/1911.06154
#acl2019nlp A Stable Variational Autoencoder for Text Modelling. (arXiv:1911.05343v1 [cs\.CL]) arxiv.org/abs/1911.05343
"CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech" presented by the talented Serra Sinem Tekirogl (@FBKcom), paper accepted @ACL2019_Italy #acl2019nlp #NLProc @m_guerini @CLiC_it_conf #clicit2019
Malvina Nissim presents the output of @angelo_basile thesis that was accepted as long paper @ACL2019_Italy #acl2019nlp “You Write Like You Eat: Stylistic Variation as a Predictor of Social Stratification” @CLiC_it_conf #clicit2019
#acl2019nlp BP-Transformer: Modelling Long-Range Context via Binary Partitioning. (arXiv:1911.04070v1 [cs\.CL]) arxiv.org/abs/1911.04070
#acl2019nlp Can Monolingual Pretrained Models Help Cross-Lingual Classification?. (arXiv:1911.03913v1 [cs\.CL]) arxiv.org/abs/1911.03913
#acl2019nlp A Re-evaluation of Knowledge Graph Completion Methods. (arXiv:1911.03903v1 [cs\.CL]) arxiv.org/abs/1911.03903
#acl2019nlp Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks. (arXiv:1911.03863v1 [cs\.CL]) arxiv.org/abs/1911.03863
Lancaster University team at #ACL2019nlp 🇮🇹 left to right: @DocElhaj @perayson @glorisonne @apmoore94 @Henrymossmoss @igezeani #NLProc 📚
In case you missed our talk in the main conference, or had questions you did not get ask in the oral session, no worries, we have a poster in the bias in NLP workshop today #ACL2019 #ACL2019nlp #NLProc
If you are at #acl2019nlp, come see our talk where we show that neural models of inference largely ignore sentence structure - the same error made by Alice in the passage below. In Hall 1 at 2:30 with @TalLinzen and Ellie Pavlick.
Are you still around #acl2019nlp? I'll be presenting this poster at the MWE workshop near hall 7, 11:00-12:30
Ready to present our poster on emphasis selection. Don’t know what that is? Come talk to me at poster #7 session 2. #acl2019 #ACL2019nlp
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