#thewebconf2020 resultados de búsqueda

Employers on gig markets sometimes believe conspiracies that workers are scammers. This leads them to write biased reviews. I presented at the Web Conference our research on using Deep Learning to nudge employers to be fairer: 👉youtu.be/Q9ZRvyDfZbo #TheWebConf2020 #WWW2020

Here is @DanajaT's talk at #TheWebConf2020 last week: youtu.be/AC0w79IHW80

Looking for a nice summary of Web Conference papers on Gig Work & Misinformation? Daniel Querica (@danielequercia), Dept Head at Bell Labs Cambridge, wrote a nice overview. Thanks for covering our research papers! 👉medium.com/socialdynamics… #TheWebConf2020 #WWW2020 #thewebconf

Final talk by @scottsanner on "Latent Linear Critiquing for Conversational Recommender Systems" - co-embed item critiques with user preference - multi-step critiquing feedback - a linear program (LP) based optimization problem ssanner.github.io/papers/www20_l… #TheWebConf2020

Third talk on vocabulary learning in the wild, with a demo! (Roland, Lars, @arnaudmiribel @cervisiarius) - language model + spaced repetitions to optimize learning - embedded language acquisition via browser plugin dl.acm.org/doi/abs/10.114… #TheWebConf2020

Second talk on "Dynamic Composition for Conversational Domain Exploration" by @GoogleAI - Content provider offer candidates for next utterance & sentence fusion offers cohesive response - NN for focus tracking - Gains on live metrics storage.googleapis.com/pub-tools-publ… #TheWebConf2020

First talk on "Open Intent Extraction from Natural Language Interactions" - Bi-LSTM + multi-head attention + CRF for action/intent identification - works well even for previously unseen user intents - 25K intent annotated dataset dl.acm.org/doi/abs/10.114… #TheWebConf2020

Chaired a session on User Modelling at the remote @TheWebConf. We had a fairly interactive session: - 2 live presentations, 3 pre-recorded talks - 3/5 authors present for Q&A - 40+ participants online during the session Waking up at 3 AM for this was worth it😂 #TheWebConf2020

@AlexanderSpangh just gave a great talk @TheWebConf on his MSR internship work on "Characterizing Search-Engine Traffic to Internet Research Agency Web Properties" together with @gireeja @adamfourney @erichorvitz #TheWebConf2020

Congrats to @AlexanderSpangh, who just presented his awesome internship work on disinformation and web search at #TheWebConf2020

I will be chairing the 4th session of the Health Track in The Web Conference 2020. We have some amazing presentations in the session. I'm excited about it. Tune in at 1:30 am ET @TheWebConf #thewebconf #thewebconf2020 #www2020 #healthOnWeb #HealthTech #VirtualConference

I'm presenting at the Web Conference our research on crowd workers & wages Many believe we need transparency to help workers earn more. We instead argue that we need "data brokers" to help workers strategically use transparency📈 Paper: tinyurl.com/y8zxbm7r #TheWebConf2020

"A click log is a privilege not a right", training a neural ranker with selected anchor text and no clicks "Selective Weak Supervision for Neural Information Retrieval" at #TheWebConf2020 arxiv.org/abs/2001.10382

If you want to see this data across #Italy, then have a look at the dataviz by @marcoq here: datainterfaces.org/projects/faceb… Joint work w/ Daniele Rama @KyriakiKalimeri @yelenamejova @mtizzoni dl.acm.org/doi/abs/10.114… #TheWebConf #TheWebConf2020 @TheWebConf

We presented at the Web Conf our research that uses machine learning to: 💎detect when an employer is writing an unfair review about a gig worker. We found that RNN+CNN was the best across gig markets Code:colab.research.google.com/drive/1twc5dBj… Paper:camps.aptaracorp.com/ACM_PMS/PMS/AC… #TheWebConf2020

In our #thewebconf2020 demo, we present how our summarization system, ExtremeReader, allows summaries to be tailored and explored interactively and generates abstractive summaries with an underlying structure. Check out our demo! #thewebconf #www2020 youtu.be/9Mrw31kWRzI

I'm very proud of Zhengjie Miao's summer internship (mentored by Yuliang Li and Xiaolan Wang of @MegagonLabs) which led to this cool paper on how to extract more text with less labeled data. Recently published at #thewebconf, #thewebconf2020, #www2020.

Our demo at #thewebconf2020, ExtremeReader: An Interactive Explorer For Customizable And Explainable Review Summarization, starts in one hour at 10:40pm PST. #thewebconf #www2020

Our research paper is presented at the Web Conference 2020: Snippext: Semi-supervised Opinion Mining with Augmented Data. This work is done by Zhengjie Miao (Duke Univ.), Yuliang Li, Xiaolan Wang, and @wangchiewtan. #thewebconf #thewebconf2020 #www2020 arxiv.org/abs/2002.03049

The Web Conference 2020 started today, and I will be chairing the first session on the Health track. We will have awesome folks presenting their papers. Tune in at 1:30 am ET. @hscells @wangpinggl @sebastianarnold @TheWebConf #thewebconf #thewebconf2020 #www2020 #healthOnWeb

🎉We're thrilled to announce that #WikiWorkshop2020 — the annual forum for researchers exploring all aspects of @Wikipedia, @Wikidata, @WikiCommons, and sister @Wikimedia projects — will be hosted at #TheWebConf2020 (WWW) in Taipei on April 20-21,2020! wikiworkshop.org/2020/

The Web Conference 2020 started today, and I will be chairing the first session on the Health track. We will have awesome folks presenting their papers. Tune in at 1:30 am ET. @hscells @wangpinggl @sebastianarnold @TheWebConf #thewebconf #thewebconf2020 #www2020 #healthOnWeb

We're excited that our paper on "Abstractive Snippet Generation" has been accepted as a full paper with oral presentation @TheWebConf. This is joint work of Wei-Fan Chen, @ShahbazSyd, @bennostein, @matthias_hagen, and @martinpotthast. #TheWebConf2020 #WWW2020

Our demo at #thewebconf2020, ExtremeReader: An Interactive Explorer For Customizable And Explainable Review Summarization, starts in one hour at 10:40pm PST. #thewebconf #www2020

I will be chairing the 4th session of the Health Track in The Web Conference 2020. We have some amazing presentations in the session. I'm excited about it. Tune in at 1:30 am ET @TheWebConf #thewebconf #thewebconf2020 #www2020 #healthOnWeb #HealthTech #VirtualConference

Here's the preprint of our @TheWebConf paper on "Abstractive Snippet Generation": arxiv.org/abs/2002.10782 We're looking forward to presenting the paper at th conference! #WWW2020 #TheWebConf2020 More tables/images below; these show examples and anchor context mining stats...

We did some interesting work on Local vs Global models & how to train #RecSys systems for deployment across markets. @KevinRoitero 's internship work @SpotifyResearch Starting this talk in 30 mints @loc_web workshop @TheWebConf @BenCarterette @mounialalmas #theWebConf2020

Our research paper is presented at the Web Conference 2020: Snippext: Semi-supervised Opinion Mining with Augmented Data. This work is done by Zhengjie Miao (Duke Univ.), Yuliang Li, Xiaolan Wang, and @wangchiewtan. #thewebconf #thewebconf2020 #www2020 arxiv.org/abs/2002.03049

First talk on "Open Intent Extraction from Natural Language Interactions" - Bi-LSTM + multi-head attention + CRF for action/intent identification - works well even for previously unseen user intents - 25K intent annotated dataset dl.acm.org/doi/abs/10.114… #TheWebConf2020

Final talk by @scottsanner on "Latent Linear Critiquing for Conversational Recommender Systems" - co-embed item critiques with user preference - multi-step critiquing feedback - a linear program (LP) based optimization problem ssanner.github.io/papers/www20_l… #TheWebConf2020

Third talk on vocabulary learning in the wild, with a demo! (Roland, Lars, @arnaudmiribel @cervisiarius) - language model + spaced repetitions to optimize learning - embedded language acquisition via browser plugin dl.acm.org/doi/abs/10.114… #TheWebConf2020

Second talk on "Dynamic Composition for Conversational Domain Exploration" by @GoogleAI - Content provider offer candidates for next utterance & sentence fusion offers cohesive response - NN for focus tracking - Gains on live metrics storage.googleapis.com/pub-tools-publ… #TheWebConf2020

I'm presenting at the Web Conference our research on crowd workers & wages Many believe we need transparency to help workers earn more. We instead argue that we need "data brokers" to help workers strategically use transparency📈 Paper: tinyurl.com/y8zxbm7r #TheWebConf2020

Looking for a nice summary of Web Conference papers on Gig Work & Misinformation? Daniel Querica (@danielequercia), Dept Head at Bell Labs Cambridge, wrote a nice overview. Thanks for covering our research papers! 👉medium.com/socialdynamics… #TheWebConf2020 #WWW2020 #thewebconf

We presented at the Web Conf our research that uses machine learning to: 💎detect when an employer is writing an unfair review about a gig worker. We found that RNN+CNN was the best across gig markets Code:colab.research.google.com/drive/1twc5dBj… Paper:camps.aptaracorp.com/ACM_PMS/PMS/AC… #TheWebConf2020

Employers on gig markets sometimes believe conspiracies that workers are scammers. This leads them to write biased reviews. I presented at the Web Conference our research on using Deep Learning to nudge employers to be fairer: 👉youtu.be/Q9ZRvyDfZbo #TheWebConf2020 #WWW2020