paper_id stringlengths 19 21 | documents dict | edges listlengths 4 132 | summary stringlengths 29 10k | documents_types listlengths 3 67 | documents_ids listlengths 3 67 | document stringlengths 2.59k 133k | srl stringlengths 13.9k 752k |
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iclr_2018_BJ8vJebC- | {
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... | The pros and cons of this paper cited by the reviewers can be summarized below:
Pros:
* The paper is a first attempt to investigate an under-studied area in neural MT (and potentially other applications of sequence-to-sequence models as well)
* This area might have a large impact; existing models such as Google Transl... | [
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] | Character-based neural machine translation (NMT) models alleviate out-of-vocabulary issues, learn morphology, and move us closer to completely end-to-end translation systems. Unfortunately, they are also very brittle and easily falter when presented with noisy data. In this paper, we confront NMT models with synthetic... | "{\"document\": {\"0\": {\"0\": [[{\"type\": \"relation\", \"value\": \"base\", \"span\": [10, 15]}, {\"type\": \"patient\", \"value\": \"neural machine translation\", \"span\": [16, 42]}, {\"type\": \"recipient\", \"value\": \"character\", \"span\": [0, 9]}], [{\"type\": \"agent\", \"value\": \"character-based neural ... |
iclr_2018_Hk2aImxAb | {"ids":["iclr_2018_Hk2aImxAb","rJSuJm4lG","SJ7lAAYgG","rk6gRwcxz","Hy_75oomz","HkJRFjomf","HJiXYjjQz(...TRUNCATED) | [["rJSuJm4lG","belong","iclr_2018_Hk2aImxAb"],["iclr_2018_Hk2aImxAb","reverse_belong","rJSuJm4lG"],[(...TRUNCATED) | "As stated by reviewer 3 \"This paper introduces a new model to perform image classification with li(...TRUNCATED) | ["paper","official_review","official_review","official_review","author_reply","author_reply","author(...TRUNCATED) | [
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iclr_2018_HJGXzmspb | {"ids":["iclr_2018_HJGXzmspb","SkzPEnBeG","rJG2o3wxf","SyrOMN9eM","HJ7oecRZf","r1t-e5CZf","ryW51cAbG(...TRUNCATED) | [["SkzPEnBeG","belong","iclr_2018_HJGXzmspb"],["iclr_2018_HJGXzmspb","reverse_belong","SkzPEnBeG"],[(...TRUNCATED) | "High quality paper, appreciated by reviewers, likely to be of substantial interest to the community(...TRUNCATED) | ["paper","official_review","official_review","official_review","author_reply","author_reply","author(...TRUNCATED) | [
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] | "Researches on deep neural networks with discrete parameters and their deployment in embedded system(...TRUNCATED) | "\"{\\\"document\\\": {\\\"0\\\": {\\\"0\\\": [[{\\\"type\\\": \\\"relation\\\", \\\"value\\\": \\\"(...TRUNCATED) |
iclr_2018_HJGv1Z-AW | {"ids":["iclr_2018_HJGv1Z-AW","HJ3-u2Ogf","H15X_V8yM","BytyNwclz","S1XPn0jXG","r1QdpPjXf","SJWDw1iXG(...TRUNCATED) | [["HJ3-u2Ogf","belong","iclr_2018_HJGv1Z-AW"],["iclr_2018_HJGv1Z-AW","reverse_belong","HJ3-u2Ogf"],[(...TRUNCATED) | "Important problem (analyzing the properties of emergent languages in multi-agent reference games), (...TRUNCATED) | ["paper","official_review","official_review","official_review","official_review","review_reply","aut(...TRUNCATED) | ["iclr_2018_HJGv1Z-AW","HJ3-u2Ogf","H15X_V8yM","BytyNwclz","S1XPn0jXG","r1QdpPjXf","SJWDw1iXG","ryjh(...TRUNCATED) | "The ability of algorithms to evolve or learn (compositional) communication protocols has traditiona(...TRUNCATED) | "\"{\\\"document\\\": {\\\"0\\\": {\\\"0\\\": [[{\\\"type\\\": \\\"agent\\\", \\\"value\\\": \\\"alg(...TRUNCATED) |
iclr_2018_Hkbd5xZRb | {"ids":["iclr_2018_Hkbd5xZRb","r1VD9T_SM","r1rikDLVG","SJ3LYkFez","B1gQIy9gM","Bkv4qd3bG","r1CVE6O7f(...TRUNCATED) | [["r1VD9T_SM","belong","iclr_2018_Hkbd5xZRb"],["iclr_2018_Hkbd5xZRb","reverse_belong","r1VD9T_SM"],[(...TRUNCATED) | "This work introduces a trainable signal representation for spherical signals (functions defined in (...TRUNCATED) | ["paper","official_review","review_reply","official_review","official_review","official_review","aut(...TRUNCATED) | ["iclr_2018_Hkbd5xZRb","r1VD9T_SM","r1rikDLVG","SJ3LYkFez","B1gQIy9gM","Bkv4qd3bG","r1CVE6O7f","Sy9F(...TRUNCATED) | "Convolutional Neural Networks (CNNs) have become the method of choice for learning problems involvi(...TRUNCATED) | "\"{\\\"document\\\": {\\\"0\\\": {\\\"0\\\": [[{\\\"type\\\": \\\"relation\\\", \\\"value\\\": \\\"(...TRUNCATED) |
iclr_2018_S1CChZ-CZ | {"ids":["iclr_2018_S1CChZ-CZ","r10KoNDgf","HJ9W8iheM","Hydu7nFeG","Hk9DKzYzM","H15NIQOfM","SJZ0UmdfM(...TRUNCATED) | [["r10KoNDgf","belong","iclr_2018_S1CChZ-CZ"],["iclr_2018_S1CChZ-CZ","reverse_belong","r10KoNDgf"],[(...TRUNCATED) | "this submission presents a novel way in which a neural machine reader could be improved. that is, b(...TRUNCATED) | ["paper","official_review","official_review","official_review","author_reply","author_reply","author(...TRUNCATED) | ["iclr_2018_S1CChZ-CZ","r10KoNDgf","HJ9W8iheM","Hydu7nFeG","Hk9DKzYzM","H15NIQOfM","SJZ0UmdfM","BkGl(...TRUNCATED) | "We frame Question Answering (QA) as a Reinforcement Learning task, an approach that we call Active (...TRUNCATED) | "\"{\\\"document\\\": {\\\"0\\\": {\\\"0\\\": [[{\\\"type\\\": \\\"agent\\\", \\\"value\\\": \\\"we\(...TRUNCATED) |
iclr_2018_rJTutzbA- | {"ids":["iclr_2018_rJTutzbA-","Sy3aR8wxz","Sk0uMIqef","Sy2Sc4CWz","SkEtTX6Xz","BJqEtWdMf","SyL2ub_fM(...TRUNCATED) | [["Sy3aR8wxz","belong","iclr_2018_rJTutzbA-"],["iclr_2018_rJTutzbA-","reverse_belong","Sy3aR8wxz"],[(...TRUNCATED) | "The reviewers unanimously recommended that this paper be accepted, as it contains an important theo(...TRUNCATED) | ["paper","official_review","official_review","official_review","official_review","author_reply","aut(...TRUNCATED) | ["iclr_2018_rJTutzbA-","Sy3aR8wxz","Sk0uMIqef","Sy2Sc4CWz","SkEtTX6Xz","BJqEtWdMf","SyL2ub_fM","rkv8(...TRUNCATED) | "Momentum based stochastic gradient methods such as heavy ball (HB) and Nesterov's accelerated gradi(...TRUNCATED) | "\"{\\\"document\\\": {\\\"0\\\": {\\\"0\\\": [[{\\\"type\\\": \\\"relation\\\", \\\"value\\\": \\\"(...TRUNCATED) |
iclr_2018_Hk6kPgZA- | {"ids":["iclr_2018_Hk6kPgZA-","S1pdil8Sz","rkn74s8BG","HJNBMS8rf","rJnkAlLBf","H1g0Nx8rf","rklzlzBVf(...TRUNCATED) | [["S1pdil8Sz","reply","H1g0Nx8rf"],["H1g0Nx8rf","reverse_reply","S1pdil8Sz"],["rkn74s8BG","reply","r(...TRUNCATED) | "This paper attracted strong praise from the reviewers, who felt that it was of high quality and ori(...TRUNCATED) | ["paper","author_reply","author_reply","author_reply","review_reply","official_review","public_comme(...TRUNCATED) | ["iclr_2018_Hk6kPgZA-","S1pdil8Sz","rkn74s8BG","HJNBMS8rf","rJnkAlLBf","H1g0Nx8rf","rklzlzBVf","HJ-1(...TRUNCATED) | "Neural networks are vulnerable to adversarial examples and researchers have proposed many heuristic(...TRUNCATED) | "\"{\\\"document\\\": {\\\"0\\\": {\\\"0\\\": [[{\\\"type\\\": \\\"relation\\\", \\\"value\\\": \\\"(...TRUNCATED) |
iclr_2018_B1QRgziT- | {"ids":["iclr_2018_B1QRgziT-","SkQdbLclM","H1xyfspez","HJH-EWkWM","rkDCavsmz","r1Ko8X_Gf","r1onL2xXM(...TRUNCATED) | [["SkQdbLclM","belong","iclr_2018_B1QRgziT-"],["iclr_2018_B1QRgziT-","reverse_belong","SkQdbLclM"],[(...TRUNCATED) | "This paper presents impressive results on scaling GANs to ILSVRC2012 dataset containing a large num(...TRUNCATED) | ["paper","official_review","official_review","official_review","official_review","public_comment","o(...TRUNCATED) | ["iclr_2018_B1QRgziT-","SkQdbLclM","H1xyfspez","HJH-EWkWM","rkDCavsmz","r1Ko8X_Gf","r1onL2xXM","SJpm(...TRUNCATED) | "One of the challenges in the study of generative adversarial networks is the instability of its tra(...TRUNCATED) | "\"{\\\"document\\\": {\\\"0\\\": {\\\"0\\\": [[{\\\"type\\\": \\\"relation\\\", \\\"value\\\": \\\"(...TRUNCATED) |
iclr_2018_BJOFETxR- | {"ids":["iclr_2018_BJOFETxR-","ryuuTE9gG","rkhdDBalz","H1oEvnkWM","SyXFuWT7M","Hy2ZoJhbf","B1LIjy2Zz(...TRUNCATED) | [["ryuuTE9gG","belong","iclr_2018_BJOFETxR-"],["iclr_2018_BJOFETxR-","reverse_belong","ryuuTE9gG"],[(...TRUNCATED) | "There was some debate between the authors and an anonymous commentator on this paper. The feeling (...TRUNCATED) | ["paper","official_review","official_review","official_review","author_reply","author_reply","author(...TRUNCATED) | ["iclr_2018_BJOFETxR-","ryuuTE9gG","rkhdDBalz","H1oEvnkWM","SyXFuWT7M","Hy2ZoJhbf","B1LIjy2Zz","H1UN(...TRUNCATED) | "Learning tasks on source code (i.e., formal languages) have been considered recently, but most work(...TRUNCATED) | "\"{\\\"document\\\": {\\\"0\\\": {\\\"0\\\": [[{\\\"type\\\": \\\"relation\\\", \\\"value\\\": \\\"(...TRUNCATED) |
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